fitted.PLNmixturefit

Extracts model fitted values from objects returned by <code>PLNmixture()</code> and its variants

The Poisson-lognormal model and variants (Chiquet, Mariadassou and Robin,
2021 <doi:10.3389/fevo.2021.588292>) can be used for
a variety of multivariate problems when count data are at play, including
principal component analysis for count data, discriminant analysis, model-based clustering and
network inference. Implements variational algorithms to fit such models accompanied with a set of
functions for visualization and diagnostic.

Julien Chiquet

PLNmodels

Poisson Lognormal Models

Mahendra Mariadassou

Stéphane Robin

Giovanni Poggiato

François Gindraud

fitted.PLNmixturefit function

<dl><dt>object</dt>
<dd>an R6 object with class <code>PLNmixturefit</code></dd>
<dt>...</dt>
<dd>additional parameters for S3 compatibility. Not used</dd></dl>

Arguments

Extracts model fitted values from objects returned by PLNmixture() and its variants — fitted.PLNmixturefit

<dl>

<dt>object</dt>
<dd>an R6 object with class <code>PLNmixturefit</code></dd>


<dt>...</dt>
<dd>additional parameters for S3 compatibility. Not used</dd>

</dl>

fitted.PLNmixturefit: Extracts model fitted values from objects returned by `PLNmixture()` and its variants

Description

Usage

Value

Arguments